淡江大學機構典藏:Item 987654321/109091
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62819/95882 (66%)
造访人次 : 4006749      在线人数 : 541
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/109091


    题名: Development of a Chinese opinion-mining system for application to Internet online forums
    作者: Shih-Jung Wu;Rui-Dong Chiang;Zheng-Hong Ji
    关键词: Opinion-mining system;Sentiment analysis;Customer review
    日期: 2017-07
    上传时间: 2017-01-05 02:10:18 (UTC+8)
    出版者: Springer US
    摘要: Articles posted on a forum often contain new Internet words related to opinion elements (feature words and opinion words). Consequently, existing Chinese opinion-mining systems may exhibit low recall and precision because they cannot recognize these new Internet words. Therefore, we propose a simple algorithm to elaborate on the opinion elements of such articles by extracting the opinion elements. Moreover, when an opinion word is combined with a specific word or concatenated with another opinion word, it may cause a change in the polarity or meaning of the opinion. This fact is prone to cause difficulties by changing the polarity or meaning of certain opinion elements, leading to errors in the analysis results of the Chinese system. We designed three algorithms with context dependency to address this problem. In this paper, we develop a semi-automatic Chinese opinion-mining system with these algorithms to extract these new opinion elements. Then, we determine whether the new word identified through manual judgment is a useful opinion element for a specific domain and add it to the thesaurus. In comparison with semi-automatic annotation methods, our approach can save considerable labor. After a 20-month follow-up analysis, the experimental data indicated that the precision, recall, and F1 of the system reached 84.0, 89.4 %, and 0.865, respectively.
    關聯: The Journal of Supercomputing 73(7), p.2987–3001
    DOI: 10.1007/s11227-016-1816-6
    显示于类别:[資訊創新與科技學系] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    Development of a Chinese opinion-mining system for application to Internet online forums.pdf2435KbAdobe PDF1检视/开启
    index.html0KbHTML349检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈